IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v84y2020icp214-221.html
   My bibliography  Save this article

Do forecasters of major exchange rates herd?

Author

Listed:
  • Frenkel, Michael
  • Mauch, Matthias
  • Rülke, Jan-Christoph

Abstract

This paper uses forecast data from 1995 through 2014 to examine, whether the market consensus of exchange rate forecasts has an effect on the forecasts of individual experts. Such an effect could take the form of herding or anti-herding. We use a very comprehensive data set to study experts' forecasts of three of the most important exchange rates. The results indicate that anti-herding vis-à-vis the consensus of forecasts occurs more often than herding. We also show how the increase in the forecasting horizon and financial crises affect the intensity of anti-herding behavior. Moreover, we report that the (anti-)herding behavior does not affect the forcasting performnce.

Suggested Citation

  • Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.
    • Handle: RePEc:eee:ecmode:v:84:y:2020:i:c:p:214-221
    DOI: 10.1016/j.econmod.2019.04.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999318309039
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2019.04.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michael Frenkel & Jan‐C. Rülke & Lilli Zimmermann, 2012. "Do Current Account Forecasters Herd? Evidence from the Euro Area and the G7 Countries," Review of International Economics, Wiley Blackwell, vol. 20(2), pages 221-236, May.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    3. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1703, August.
    4. Menkhoff, Lukas & Schmidt, Ulrich & Brozynski, Torsten, 2006. "The impact of experience on risk taking, overconfidence, and herding of fund managers: Complementary survey evidence," European Economic Review, Elsevier, vol. 50(7), pages 1753-1766, October.
    5. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock‐Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1695, August.
    6. Y. Tsuchiya & T. Kato, 2015. "Asymmetric loss and herding behaviour of exchange rate forecasters: evidence from South Africa," Applied Economics, Taylor & Francis Journals, vol. 47(54), pages 5841-5852, November.
    7. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    8. Christian Pierdzioch & Georg Stadtmann, 2011. "Do exchange-rate forecasters herd?," Applied Economics Letters, Taylor & Francis Journals, vol. 18(8), pages 739-741.
    9. Lamont, Owen A., 2002. "Macroeconomic forecasts and microeconomic forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 265-280, July.
    10. Tom Stark, 1997. "Macroeconomic forecasts and microeconomic forecasters in the Survey of Professional Forecasters," Working Papers 97-10, Federal Reserve Bank of Philadelphia.
    11. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    12. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
    13. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    14. Effinger, Matthias R. & Polborn, Mattias K., 2001. "Herding and anti-herding: A model of reputational differentiation," European Economic Review, Elsevier, vol. 45(3), pages 385-403, March.
    15. Mitchell, Karlyn & Pearce, Douglas K., 2007. "Professional forecasts of interest rates and exchange rates: Evidence from the Wall Street Journal's panel of economists," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 840-854, December.
    16. Roy Batchelor, 2001. "How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 225-235.
    17. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2009. "Forecasting ECB monetary policy: Accuracy is a matter of geography," European Economic Review, Elsevier, vol. 53(8), pages 1028-1041, November.
    18. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    19. Prendergast, Canice & Stole, Lars, 1996. "Impetuous Youngsters and Jaded Old-Timers: Acquiring a Reputation for Learning," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1105-1134, December.
    20. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "A Note on Forecasting Emerging Market Exchange Rates: Evidence of Anti-herding," Review of International Economics, Wiley Blackwell, vol. 20(5), pages 974-984, November.
    21. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    22. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
    23. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2011. "Geography, skills or both: What explains Fed watchers' forecast accuracy of US monetary policy?," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 420-437, September.
    24. Christian Pierdzioch & Georg Stadtmann, 2015. "Skewed exchange-rate forecasts," The European Journal of Finance, Taylor & Francis Journals, vol. 21(13-14), pages 1161-1175, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohamad, Azhar & Stavroyiannis, Stavros, 2022. "Do birds of a feather flock together? Evidence from time-varying herding behaviour of bitcoin and foreign exchange majors during Covid-19," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    2. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    3. Fenny Marietza & Ridwan Nurazi & Fitri Santi & Saiful, 2021. "Bibliometric Analysis Of Herding Behavior In Times Of Crisis," Papers 2106.13598, arXiv.org.
    4. Jakub Rybacki & Michał Gniazdowski, 2023. "Macroeconomic forecasting in Poland: lessons from the external shocks," Bank i Kredyt, Narodowy Bank Polski, vol. 54(1), pages 45-64.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bizer, Kilian & Meub, Lukas & Proeger, Till & Spiwoks, Markus, 2014. "Strategic coordination in forecasting: An experimental study," University of Göttingen Working Papers in Economics 195, University of Goettingen, Department of Economics.
    2. Ottaviani, Marco & Sorensen, Peter Norman, 2006. "The strategy of professional forecasting," Journal of Financial Economics, Elsevier, vol. 81(2), pages 441-466, August.
    3. Marco Ottaviani & Peter Norman Sorensen, 2002. "Professional Advice: The Theory of Reputational Cheap Talk," Discussion Papers 02-05, University of Copenhagen. Department of Economics.
    4. Zitzewitz, Eric, 2001. "Measuring Herding and Exaggeration by Equity Analysts and Other Opinion Sellers," Research Papers 1802, Stanford University, Graduate School of Business.
    5. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. Clarke, Jonathan & Subramanian, Ajay, 2006. "Dynamic forecasting behavior by analysts: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 80(1), pages 81-113, April.
    7. Beckmann, Daniela & Menkhoff, Lukas & Suto, Megumi, 2008. "Does culture influence asset managers' views and behavior?," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 624-643, September.
    8. Marinovic, Iván & Ottaviani, Marco & Sorensen, Peter, 2013. "Forecasters’ Objectives and Strategies," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 690-720, Elsevier.
    9. Sylvain Marsat, 2006. "Does The Consensus Prevail? Experimental Evidence," Working Papers hal-02156562, HAL.
    10. Menkhoff, Lukas & Schmidt, Ulrich & Brozynski, Torsten, 2006. "The impact of experience on risk taking, overconfidence, and herding of fund managers: Complementary survey evidence," European Economic Review, Elsevier, vol. 50(7), pages 1753-1766, October.
    11. Po-Jung Chen, 2016. "The Effects of Analysts’ Herding on Traders: Evidence from the Taiwan Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(2), pages 203-227, June.
    12. Taufeeq Ajaz & Anoop S. Kumar, 2018. "Herding In Crypto-Currency Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-15, June.
    13. Lin, Mei-Chen, 2018. "The impact of aggregate uncertainty on herding in analysts' stock recommendations," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 90-105.
    14. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2009. "Higher-order beliefs among professional stock market forecasters: some first empirical tests," ZEW Discussion Papers 09-042, ZEW - Leibniz Centre for European Economic Research.
    15. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    16. Durand, Robert B. & Limkriangkrai, Manapon & Fung, Lucia, 2014. "The behavioral basis of sell-side analysts’ herding," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(3), pages 176-190.
    17. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9142, University Library of Munich, Germany.
    18. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
    19. Stein, Jeremy C., 2003. "Agency, information and corporate investment," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 2, pages 111-165, Elsevier.
    20. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.

    More about this item

    Keywords

    Foreign Currency Issues; Foreign exchange market; Forecasts; Herding;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:84:y:2020:i:c:p:214-221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.